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《Journal of Transportation Systems Engineering and Information Technology》 2016-06
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Maximum Concave Envelope Theory Based Dynamic Pricing for Railway Passenger Transportation

ZHANG Xiao-qiang;LI Yu;HUANG Shuai-xun;ZHANG Hui;School of Transportation and Logistic,Southwest Jiaotong University;Lab of National United Engineering Laboratory of Integrated and Intelligent Transportation,Southwest Jiaotong University;National Rail Transit Electrification and Automation Engineering Technique Research Center,Southwest Jiaotong University;  
There are some flaws with fixed pricing strategy for railway passenger transportation. In this paper, a discrete multi- dimension Markov decision model, which is applied for high- speed railway passenger transportation, is provided for dynamic pricing. The model was solved by maximum concave envelope theory. It is demonstrated that potential passenger demand and income are positively correlated theoretically. The longer sales term will lead to higher expected revenue. The provided model is evaluated by the Beijing- Shanghai high- speed railway transportation. The simulation results show that railway operator can get higher revenue without extra cost.
【Fund】: 国家社会科学基金(14BGL060);; 成都市哲学社会科学规划项目(2015R08);; 中央高校基本科研业务费专项资金(2682016ZDPY08)~~
【CateGory Index】: F532.5;U293.1
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